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deforestable (version 3.1.2)

Classify RGB Images into Forest or Non-Forest

Description

Implements two out-of box classifiers presented in for distinguishing forest and non-forest terrain images. Under these algorithms, there are frequentist approaches: one parametric, using stable distributions, and another one- non-parametric, using the squared Mahalanobis distance. The package also contains functions for data handling and building of new classifiers as well as some test data set.

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Version

Install

install.packages('deforestable')

Monthly Downloads

223

Version

3.1.2

License

GPL-3

Maintainer

Dmitry Otryakhin

Last Published

October 19th, 2025

Functions in deforestable (3.1.2)

train

Train models for forest detection
createDataPartition

Data Partitioning
Koutparams

Koutrouvelis parameter estimation of image data
read_data

Import a jpeg image
classify

Classify parts of images as forest / non-forest
Class_ForestTrain

S3 class ForestTrain